114.31.75.33 Threat Intelligence and Host Information

General

IP Address
114.31.75.33
IPv4 Address
Location
🇦🇺 Australia
AU
Network
AS24446
5G NETWORK OPERATIONS PTY LTD
Threat Score
39/100
Medium Risk
bruteforcesshtpotvultr
Attack Intelligence
Open Ports Detected
2082
Geographic Location
Country
Australia
City
Unknown
Region
Unknown
Coordinates
-33.4940, 143.2104
Network Information
ASN
AS24446
Organization
5G NETWORK OPERATIONS PTY LTD
Network
AS24446 5G NETWORK OPERATIONS PTY LTD
WHOIS Information
inetnum
114.31.75.0 - 114.31.75.255
netname
Internal-ClientVPS
descr
NETREGISTRY
country
AU
admin-c
DD251-AP
tech-c
DD251-AP
abuse-c
AI544-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-INT-5GN-AU
mnt-irt
IRT-INT-5GN-AU
last-modified
2024-07-08T05:44:10Z
irt
IRT-INT-5GN-AU
address
928/401 Docklands Drive
e-mail
support@distributeit.com.au
abuse-mailbox
abuse@5gn.com.au
role
Damien Derby
phone
+61-3-96023430
nic-hdl
DD251-AP
route
114.31.72.0/21
origin
AS45214
mnt-lower
MAINT-INT-5GN-AU
mnt-routes
MAINT-INT-5GN-AU
Attack Logs
Date Target Location Protocol Link
2026-08-22 Vultrmelbournetest-Combined MULTIPLE View Log

  • Country: Australia
  • Network:
  • Noticed: 2 times
  • Protocols Attacked: combined portscan ssh
  • Countries Attacked: Finland, France, Germany, Poland, United States of America
  • Passive DNS Results: old.tdg.team api.utilitytrack.com.au www.tdg.team tdg.team vps.utilitytrack.com.au gpe.septictrack.com.au mps.septictrack.com.au www.utilitytrack.com.au taylex.septictrack.com.au tdc.team www.tdc.team hq.septictrack.com.au cww.septictrack.com.au dev.septictrack.com.au admin.septictrack.com.au demo.septictrack.com.au utilitytrack.com.au www.esgrp.team esgrp.team www.septictrack.com.au go.septictrack.com.au septictrack.com.au

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2015-3152 CVE-2016-0652 CVE-2016-0653 CVE-2016-0654 CVE-2016-0656 CVE-2016-0657 CVE-2016-0658 CVE-2016-0659 CVE-2016-0662 CVE-2016-0663 CVE-2016-0667 CVE-2016-20012 CVE-2016-3424 CVE-2016-3440 CVE-2016-3518 CVE-2016-3588 CVE-2016-5436 CVE-2016-5437 CVE-2016-5441 CVE-2016-5442 CVE-2016-5443 CVE-2016-5628 CVE-2016-5631 CVE-2016-5632 CVE-2016-5633 CVE-2016-5634 CVE-2016-5635 CVE-2016-8286 CVE-2016-8287 CVE-2016-8289 CVE-2016-8290 CVE-2017-10165 CVE-2017-10167 CVE-2017-10284 CVE-2017-10296 CVE-2017-10311 CVE-2017-10313 CVE-2017-15906 CVE-2017-3251 CVE-2017-3256 CVE-2017-3319 CVE-2017-3320 CVE-2017-3454 CVE-2017-3455 CVE-2017-3457 CVE-2017-3458 CVE-2017-3459 CVE-2017-3460 CVE-2017-3465 CVE-2017-3467 CVE-2017-3468 CVE-2017-3529 CVE-2017-3637 CVE-2017-3638 CVE-2017-3639 CVE-2017-3640 CVE-2017-3642 CVE-2017-3643 CVE-2017-3644 CVE-2017-3645 CVE-2017-3646 CVE-2017-3650 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2018-3061 CVE-2018-3071 CVE-2019-2731 CVE-2019-2741 CVE-2019-2755 CVE-2019-2757 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2019-7317 CVE-2020-14145 CVE-2020-14760 CVE-2020-14814 CVE-2020-14830 CVE-2020-14837 CVE-2020-14839 CVE-2020-14845 CVE-2020-14846 CVE-2020-14852 CVE-2020-15358 CVE-2020-15778 CVE-2020-1971 CVE-2021-22570 CVE-2021-2356 CVE-2021-36368 CVE-2021-41617 CVE-2022-21417 CVE-2022-21444 CVE-2022-3559 CVE-2022-3620 CVE-2023-21977 CVE-2023-21980 CVE-2023-22007 CVE-2023-22015 CVE-2023-22026 CVE-2023-22028 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51766 CVE-2023-51767 CVE-2024-39929 CVE-2025-26465 CVE-2025-30232 CVE-2025-32728 CVE-2025-67896 CVE-2026-35385 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414 CVE-2026-40684 CVE-2026-40685 CVE-2026-40686 CVE-2026-40687 CVE-2026-48840 CVE-2026-59995 CVE-2026-59996 CVE-2026-59997 CVE-2026-59998 CVE-2026-59999 CVE-2026-60000 CVE-2026-60001 CVE-2026-60002

Disclaimer
This page contains threat intelligence information for the IPv4 address 114.31.75.33 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only - and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.